乐胖代购免代理版

{"id":"https://openalex.org/W2100595398","doi":"https://doi.org/10.1109/iwfhr.2004.47","title":"Global Shape Normalization for Handwritten Chinese Character Recognition: A New Method","display_name":"Global Shape Normalization for Handwritten Chinese Character Recognition: A New Method","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2100595398","doi":"https://doi.org/10.1109/iwfhr.2004.47","mag":"2100595398"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwfhr.2004.47","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115589325","display_name":"Chenglin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"None Cheng-Lin Liu","raw_affiliation_strings":["Central Research Lab., Hitachi Ltd., Tokyo, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Central Research Lab., Hitachi Ltd., Tokyo, Japan#TAB#","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016427390","display_name":"Katsumi Marukawa","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Marukawa","raw_affiliation_strings":["Central Research Lab., Hitachi Ltd., Tokyo, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Central Research Lab., Hitachi Ltd., Tokyo, Japan#TAB#","institution_ids":["https://openalex.org/I65143321"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.242,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":35,"citation_normalized_percentile":{"value":0.893785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":91},"biblio":{"volume":null,"issue":null,"first_page":"300","last_page":"305"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9986,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9963,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.81674373},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization","score":0.72406006},{"id":"https://openalex.org/keywords/sine","display_name":"Sine","score":0.4492237}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.81674373},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.72406006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.604934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5691084},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5320189},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4968486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4788739},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45392296},{"id":"https://openalex.org/C186661526","wikidata":"https://www.wikidata.org/wiki/Q13647261","display_name":"Sine","level":2,"score":0.4492237},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.445788},{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.4450412},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43629834},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3337263},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10554901},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10070115},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwfhr.2004.47","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W1532744717","https://openalex.org/W1604031295","https://openalex.org/W1770825568","https://openalex.org/W1907538284","https://openalex.org/W192646177","https://openalex.org/W2002448074","https://openalex.org/W2014986661","https://openalex.org/W2016538096","https://openalex.org/W2040193698","https://openalex.org/W2043467593","https://openalex.org/W2112625074","https://openalex.org/W2114726032","https://openalex.org/W2135346934","https://openalex.org/W2136549839","https://openalex.org/W2148330775","https://openalex.org/W2161276799","https://openalex.org/W2607810225","https://openalex.org/W2902913323"],"related_works":["https://openalex.org/W4390063540","https://openalex.org/W3144675622","https://openalex.org/W3124374489","https://openalex.org/W3122032734","https://openalex.org/W3080076373","https://openalex.org/W28389960","https://openalex.org/W2381926679","https://openalex.org/W2189529952","https://openalex.org/W2007009951","https://openalex.org/W1907538284"],"abstract_inverted_index":{"Nonlinear":[0],"normalization":[1,28],"(NLN)":[2],"based":[3],"on":[4,118],"line":[5],"density":[6],"equalization":[7],"has":[8],"been":[9],"widely":[10],"used":[11],"in":[12],"handwritten":[13],"Chinese":[14],"character":[15],"recognition":[16,46],"(HCCR).":[17],"Our":[18],"previous":[19,65],"results":[20],"showed":[21],"that":[22,125],"global":[23,53],"transformation":[24,54],"methods,":[25],"including":[26],"moment":[27],"and":[29,121,136,139],"a":[30,51,90],"newly":[31],"proposed":[32],"bi-moment":[33,137],"method,":[34,55,61],"generate":[35],"smooth":[36],"normalized":[37],"shapes":[38],"at":[39],"lower":[40],"computation":[41],"effort":[42],"while":[43],"yielding":[44],"comparable":[45],"accuracies.":[47],"This":[48],"paper":[49],"proposes":[50],"new":[52],"named":[56],"modified":[57],"centroid-boundary":[58],"alignment":[59],"(MCBA)":[60],"for":[62],"HCCR.":[63],"The":[64,86,103],"CBA":[66],"method":[67,88,128],"can":[68],"efficiently":[69],"correct":[70],"the":[71,83,100,106,112,119,126,134],"skewness":[72],"of":[73,105,114],"centroid":[74],"by":[75],"quadratic":[76,96],"curve":[77],"fitting":[78],"but":[79],"fails":[80],"to":[81,98,133],"adjust":[82,99],"inner":[84,101],"density.":[85,102],"MCBA":[87,127],"adds":[89],"simple":[91],"trigonometric":[92],"(sine)":[93],"function":[94,97],"onto":[95],"amplitude":[104],"sine":[107],"wave":[108],"is":[109],"estimated":[110],"from":[111],"centroids":[113],"half":[115],"images.":[116],"Experiments":[117],"ETL9B":[120],"JEITA-HP":[122],"databases":[123],"show":[124],"yields":[129],"comparably":[130],"high":[131],"accuracies":[132],"NLN":[135],"methods":[138],"shows":[140],"complementariness.":[141]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2100595398","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2024-12-24T14:21:47.065836","created_date":"2016-06-24"}